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The Guide to Improving Quality Management in Life Sciences

Effective quality management in the life sciences industry is essential for ensuring patient safety, regulatory compliance, and the delivery of high-quality, efficacious treatments and medical devices. And good quality management is about more than just checking a regulatory box. Ensuring the safety and efficacy of your products can prove challenging, but the right technology can help.

Improving Code Quality And Accelerating Development: The Continuous Testing Way

In the fast-changing world of software development, teams struggle to maintain good code quality while shortening development schedules. Continuous Testing (CT) in CI/CD pipelines stands out as a powerful strategy. It allows teams to weave testing directly into their development workflow, offering quick feedback and stronger quality assurance.

Why Collective Testing Holds the Key to Enhanced Quality

Collective (adj): done by people acting as a group. Collective (noun) a cooperative enterprise. What do these definitions tell us about collective testing? In its most basic form, it is a practice where individuals come together to test products, software, or ideas. Beyond that, collective testing is a powerful tool that not only improves the quality of what’s being tested but also fosters a sense of community and shared purpose.

The Power of Reusability: Scale Your Test Management in Jira

In today's dynamic software development landscape, efficient and scalable test management is crucial for ensuring the quality and reliability of software products. Jira, a popular project management tool, offers a robust solution for test management through its integration with Zephyr Scale. In this blog post, we’ll explore the high-level importance of reusability features in test management and how they contribute to scaling your testing efforts.

JMeter ForEach Controller

Among the many elements JMeter offers for creating test scenarios, the ForEach loop stands out as an efficient way of browsing and processing data. The ForEach loop in JMeter is a controller that allows you to cycle through the elements of a list or variable, executing the test samples included in the loop for each element iteratively. This is particularly useful when you need to perform tests with dynamic data, or when you want to repeat a sequence of samples for different values.

Integrating iOS Push Notifications Using Swift

Push notifications play a vital role in user engagement and retention, keeping users up to date and creating a sense of FOMO that leads to purchases. And in iOS, we get the added benefit of Apple’s Push Notification Service (APNs). which acts as a middleman between the app server and the user’s device, facilitating the delivery of push notifications even if the app is not active or the user is checking another of their apps.

CSV Formatting: Tips and Tricks for Data Accuracy

Comma-Separated Values (CSV) files are at the cornerstone of data management. They offer a simplistic yet versatile format to organize and exchange data. CSV files are predominantly used in data analysis, machine learning, and database migrations. Their ability to encapsulate large datasets in a plain-text format makes them instrumental for these use cases.

How to Automate an Enterprise Process From Beginning to End

Automating a process can be complex, especially when it’s a long-running process with many steps and complex business rules, cross-cutting multiple departments and systems in an enterprise. To automate a process like this from end to end, you’ll need a process automation strategy and software. Assuming you’ve ticked both of those boxes, the next step is putting those things to work, which is the focus of this post.

LLMOps vs. MLOps: Understanding the Differences

Data engineers, data scientists and other data professional leaders have been racing to implement gen AI into their engineering efforts. But a successful deployment of LLMs has to go beyond prototyping, which is where LLMOps comes into play. LLMOps is MLOps for LLMs. It’s about ensuring rapid, streamlined, automated and ethical deployment of LLMs to production. This blog post delves into the concepts of LLMOps and MLOps, explaining how and when to use each one.